Title :
Global stability of CNNs with delay
Author :
Arik, Sabri ; Tavsanoglu, Vedat
Author_Institution :
Sch. of Electr., Electron. & Inf. Eng., South Bank Univ., London, UK
Abstract :
We give a new sufficient condition for the global stability of the equilibrium point for cellular neural networks with delay (DCNNs). The significance of this condition is that the existence, uniqueness and stability of the equilibrium point is not affected by the delay parameter. This condition is also weaker than some previous global stability results
Keywords :
cellular neural nets; delays; stability; cellular neural networks; equilibrium point; existence; global stability; sufficient condition; uniqueness; Asymptotic stability; Cellular neural networks; Delay; Eigenvalues and eigenfunctions; Electronic mail; Equations; Joining processes; Stability analysis; State feedback; Sufficient conditions;
Conference_Titel :
Cellular Neural Networks and their Applications, 1996. CNNA-96. Proceedings., 1996 Fourth IEEE International Workshop on
Conference_Location :
Seville
Print_ISBN :
0-7803-3261-X
DOI :
10.1109/CNNA.1996.566547
